Measure, optimize, and scale app growth & stickiness across customer’s  lifecycle.  Accelerate growth without sacrificing profitability.
You could easily find your niche by building an app and monetizing usage from launch to subscription. Customer’s journey was linear - from website to marketplace to app.
There are over 2.2 million iOS apps and each niche category has dozens of competitors. Monetizing becomes increasingly difficult when marketplace is flooded with freemium apps that beat the premium experience.
Mobile apps lose 77% of their users during the first 3 days following sign-up and 65% of apps fail to reach profitability within 2 years of launching the app.
Generate consistently profitable income streams by effectively and strategically  upselling and cross-selling existing customers
Funnels use acquisition at their core, are inherently leaky and grow linearly at best. Acquiring customer is just the first step on the lifecycle  relationship
Because the best relationships stay connected - across each step of the customer lifecycle. Net Dollar Retention and CAC Payback are the new black
The flywheel has compounding effect if you reach the  elite level of these KPIs
This is what Average stickiness (DAU/MAU) looks like for consumer apps - on average 11.9% of users come back once every 8.4 days to visit an app.
Elite stickiness for consumer apps (DAU/MAU) is 26.1% so Users coming back every once every 4 days.
Average 50th and 90th percentile DAU/MAU Â in Consumer Apps
This is what average growth looks like - 50th percentile is 3.7% monthly percent change of ADAU for consumer apps, is very low.
Elite growth for 90th percentile is 27.7% monthly percent change of ADAU for consumer apps. This is where you want to be.
Average 50th and 90th percentile monthly % of change ADAU in Consumer Apps
Intempt’s  Growth OS is an all-in-one marketing suite that enables you to collect and activate data across all touchpoints so you can acquire, monetize and retain more customers.
Gain a 360° view of your customer by unifying the cross-channel dataset to build a complete user profile. Uncover insights into their behavior, identify friction in their journey, and craft personalized in-app content and onboarding experiences.
Keep the pulse on the customers that may churn - ensure that they return by interrupting inactivity with personalized content to win-back their attention.
Create a predictive churn score to identify and target customers who are likely to disengage missing the next purchase. Next, create personalization-focused experiment targeted via created churn score to prevent attrition of customers who are  at risk.
Keep the pulse on the customers that may churn - ensure that they return by interrupting inactivity with personalized content to win-back their attention.
Create a predictive churn score to identify and target customers who are likely to disengage missing the next purchase. Next, create personalization-focused experiment targeted via created churn score to prevent attrition of customers who are  at risk.
Keep the pulse on the customers that may churn - ensure that they return by interrupting inactivity with personalized content to win-back their attention.
Create a predictive churn score to identify and target customers who are likely to disengage missing the next purchase. Next, create personalization-focused experiment targeted via created churn score to prevent attrition of customers who are  at risk.
Build a habit with your product and make your users return to it. Use data-driven insights to improve your retention tactics, trigger automated reminders at the right moments, and prevent churn with personalized messaging before customers lose engagement.
Keep the pulse on the customers that may churn - ensure that they return by interrupting inactivity with personalized content to win-back their attention.
Create a predictive churn score to identify and target customers who are likely to disengage missing the next purchase. Next, create personalization-focused experiment targeted via created churn score to prevent attrition of customers who are  at risk.
Keep the pulse on the customers that may churn - ensure that they return by interrupting inactivity with personalized content to win-back their attention.
Create a predictive churn score to identify and target customers who are likely to disengage missing the next purchase. Next, create personalization-focused experiment targeted via created churn score to prevent attrition of customers who are  at risk.
Keep the pulse on the customers that may churn - ensure that they return by interrupting inactivity with personalized content to win-back their attention.
Create a predictive churn score to identify and target customers who are likely to disengage missing the next purchase. Next, create personalization-focused experiment targeted via created churn score to prevent attrition of customers who are  at risk.
Transform free users into paid and paid into the premium. Use advanced conversion, upsell, and expansion tactics to engage with your customers in-app, via email and SMS. Use data to maximize revenue for each user.
Keep the pulse on the customers that may churn - ensure that they return by interrupting inactivity with personalized content to win-back their attention.
Create a predictive churn score to identify and target customers who are likely to disengage missing the next purchase. Next, create personalization-focused experiment targeted via created churn score to prevent attrition of customers who are  at risk.
Keep the pulse on the customers that may churn - ensure that they return by interrupting inactivity with personalized content to win-back their attention.
Create a predictive churn score to identify and target customers who are likely to disengage missing the next purchase. Next, create personalization-focused experiment targeted via created churn score to prevent attrition of customers who are  at risk.
Keep the pulse on the customers that may churn - ensure that they return by interrupting inactivity with personalized content to win-back their attention.
Create a predictive churn score to identify and target customers who are likely to disengage missing the next purchase. Next, create personalization-focused experiment targeted via created churn score to prevent attrition of customers who are  at risk.
Drive growth and optimize operations with six key stages on initializing GrowthOS
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Identify, build and analyze audiences. Unify customer data across all digital and offline touchpoints and use it to power your marketing stack.
•  Capture user and account level data, no matter the source
•  Build complex segmentation & targeting rules for each user
•  Automatically uncover deeper segmentation opportunities with RFM scoring
•  Build reports & dashboards to track your KPI progress
Personalize every interaction to deliver an optimal customer experience at scale across web, mobile and email.
•  Transform static content into personalized experiences
•  Personalize your website for each persona
•  Target users by affinity sitewide
•  Personalize journeys, not individual touchpoints
Set timely, automated triggering events based on real-time behavior to send timely emails when customers are most likely to subscribe, or are at high risk to churn and cancel subscription.
•  Orchestrate responsive, cross-channel experiences within a single interface
•  Track journey performance in real-time
•  Ensure consistent brand messaging across channels
Predict user-intent in real time with machine learning. Understand your customers better than ever before with an AIalgorithm that identifies subscription, upgrade or churn intent.
•  Choose the right path for each user across your consumer experiences
•  Create AI-powered audiences based on conversion goals and only target users who are most likely to impact KPIs
•  Enrich customer profiles with a range of predictive attributes
Experiment anywhere on your digital properties with great agility, more confidence and less risk
•  A/B test any experience on any channel
•  Move beyond A/B testing with sophisticated targeting
•  Improve performance with an agile statistical engine and CUPED variance reduction
•  Client- and server-side A/B testing together in one platform
Transform every customer touchpoint into revenue today